{"id":125122,"date":"2021-06-30T15:14:52","date_gmt":"2021-06-30T14:14:52","guid":{"rendered":"https:\/\/eurecat.org\/identificar-noduls-indicadors-cancers-pulmonars-intelligencia-artificial\/"},"modified":"2022-07-25T12:44:17","modified_gmt":"2022-07-25T11:44:17","slug":"mwc-showcases-a-new-system-using-artificial-intelligence-to-spot-nodules-indicative-of-potential-lung-cancer","status":"publish","type":"post","link":"https:\/\/eurecat.org\/en\/mwc-showcases-a-new-system-using-artificial-intelligence-to-spot-nodules-indicative-of-potential-lung-cancer\/","title":{"rendered":"MWC showcases a new system using artificial intelligence to spot nodules indicative of potential lung cancer"},"content":{"rendered":"

At this year\u2019s Mobile World Congress<\/strong>, the Eurecat<\/strong><\/a>\u00a0technology centre is showcasing\u00a0a new system for identifying nodules which are indicators of potential lung cancer using a tool powered by artificial intelligence techniques and deep learning in particular. The project has been conducted with the\u00a0Vall d\u2019Hebron Barcelona Hospital Campus<\/strong>\u00a0and has been supported by CIDAI<\/strong><\/a>\u00a0(Centre of Innovation for Data tech and Artificial Intelligence).<\/p>\n

The technology makes it possible to train predictive models using 3D medical imaging embedded in the radiology workflow to \u201cenable early detection of disease and provide a tool to support prognosis and monitoring by expert medical professionals,\u201d says Felip Miralles, the director of Eurecat\u2019s Digital Health Unit. \u201cIt\u2019s a precision medicine breakthrough which is reshaping clinical practice and the healthcare industry.\u201d<\/p>\n

The innovation supports radiologists in monitoring lung nodules by means of a system running tests drawing on deep learning which can spot nodules and re-identify them to provide a forecast of growth and the likelihood of them being cancerous.<\/p>\n

Key to this innovation has been building an interface to conduct time-based analysis of lung nodules and deliver intuitive and informative visual review of the results to help clinicians make more accurate diagnoses.<\/p>\n

The tool has been developed by Eurecat in partnership with the Vall d\u2019Hebron Barcelona Hospital Campus and coordinated by the Hospital\u2019s Diagnostic Imaging Service as part of its Deep Lung<\/strong> project. \u201cThe goal is to develop an AI tool applied to CT images for early detection of lung cancer,\u201d says Dr Manel Escobar, Clinical Director of the Diagnostic Imaging Department at Vall d\u2019Hebron University Hospital and a researcher at the Vall d\u2019Hebron Research Institute (VHIR). \u201cThis tool is based on monitoring suspicious lesions as evaluated by Vall d\u2019Hebron\u2019s radiology specialists. The application of AI in these cases will enhance diagnostic and predictive capacity in patients affected by the disease and in future population screening programmes for lung cancer.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

At this year\u2019s Mobile World Congress, the Eurecat\u00a0technology centre is showcasing\u00a0a new system for identifying nodules which are indicators of potential lung cancer using a tool powered by artificial intelligence techniques and deep learning in particular. The project has been conducted with the\u00a0Vall d\u2019Hebron Barcelona Hospital Campus\u00a0and has been supported by CIDAI\u00a0(Centre of Innovation for […]<\/p>\n","protected":false},"author":27,"featured_media":115758,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[420,742,2284,1422,743],"tags":[],"class_list":["post-125122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-e-health-en","category-fires-en","category-health","category-mobile-world-congress-en","category-press-notes-en"],"yoast_head":"\nMWC showcases a new system using artificial intelligence to spot nodules indicative of potential lung cancer - Eurecat<\/title>\n<meta name=\"description\" content=\"MWC showcases a new system using artificial intelligence to spot nodules indicative of potential lung cancer\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eurecat.org\/en\/mwc-showcases-a-new-system-using-artificial-intelligence-to-spot-nodules-indicative-of-potential-lung-cancer\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MWC showcases a new system using artificial intelligence to spot nodules indicative of potential lung cancer - 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